Triple
T14618677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veliko Tarnovo Province |
E343155
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Pavlikeni
Pavlikeni is a small town in northern Bulgaria known for its agricultural surroundings and local pottery traditions.
|
E1110807
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pavlikeni | Statement: [Veliko Tarnovo Province, containsCity, Pavlikeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavlikeni Context triple: [Veliko Tarnovo Province, containsCity, Pavlikeni]
-
A.
Pavliani
Pavliani is a mountain village in Central Greece situated on the slopes of Mount Oeta, known for its natural beauty and outdoor recreation.
-
B.
Karpenisi
Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
-
C.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
D.
Volosko
Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
-
E.
Lanivtsi
Lanivtsi is a small town in western Ukraine known for its location within the historic region of Ternopil in Galicia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pavlikeni Triple: [Veliko Tarnovo Province, containsCity, Pavlikeni]
Generated description
Pavlikeni is a small town in northern Bulgaria known for its agricultural surroundings and local pottery traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pavlikeni Target entity description: Pavlikeni is a small town in northern Bulgaria known for its agricultural surroundings and local pottery traditions.
-
A.
Pavliani
Pavliani is a mountain village in Central Greece situated on the slopes of Mount Oeta, known for its natural beauty and outdoor recreation.
-
B.
Karpenisi
Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
-
C.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
D.
Volosko
Volosko is a historic coastal village and former fishing port on the Adriatic Sea, now part of the town of Opatija in western Croatia.
-
E.
Lanivtsi
Lanivtsi is a small town in western Ukraine known for its location within the historic region of Ternopil in Galicia.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb234bc1c8190a85c802dfcfa7909 |
completed | May 8, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb36bd50c8190a8af992fe4b12bb6 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:25 a.m.